Faculty of Computer Science, Bialystok University of Technology, Bialystok 15-351, Poland.
Department of Medical Biology, Medical University of Bialystok, Bialystok 15-089, Poland.
Bioinformatics. 2024 May 2;40(5). doi: 10.1093/bioinformatics/btae273.
ITree is an intuitive web tool for the manual, semi-automatic, and automatic induction of decision trees. It enables interactive modifications of tree structures and incorporates Relative Expression Analysis for detecting complex patterns in high-throughput molecular data. This makes ITree a versatile tool for both research and education in biomedical data analysis.
The tool allows users to instantly see the effects of modifications on decision trees, with updates to predictions and statistics displayed in real time, facilitating a deeper understanding of data classification processes.
Available online at https://itree.wi.pb.edu.pl. Source code and documentation are hosted on GitHub at https://github.com/hsokolowski/iTree and in supplement.
iTree 是一个直观的网络工具，用于手动、半自动和自动归纳决策树。它允许对树结构进行交互式修改，并结合相对表达分析，用于检测高通量分子数据中的复杂模式。这使得 iTree 成为生物医学数据分析中研究和教育的多功能工具。
该工具允许用户即时查看对决策树的修改效果，实时显示预测和统计信息的更新，有助于更深入地了解数据分类过程。
可在线访问 https://itree.wi.pb.edu.pl。源代码和文档托管在 GitHub 上，网址为 https://github.com/hsokolowski/iTree 和补充材料。
